中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Evaluating the potential of MODIS satellite data to track temporal dynamics of autumn phenology in a temperate mixed forest

文献类型:期刊论文

作者Liu, Lingling1; Liang, Liang1; Schwartz, Mark D.1; Donnelly, Alison1; Wang, Zhuosen1; Schaaf, Crystal B.1; Liu, Liangyun1
刊名REMOTE SENSING OF ENVIRONMENT
出版日期2015
卷号160页码:3114-3137
关键词Landscape phenology Land surface phenology Fall season Temperate forest Northern USA EOS Land Validation Core Site
通讯作者Liang, L (reprint author), Univ Kentucky, Dept Geog, Lexington, KY 40506 USA.
英文摘要Autumn phenology plays a critical role in regulating growing season duration and can be estimated from satellite remote sensing. However, to date, little work has been undertaken to evaluate the performance of remotely sensed autumn phenology, mainly due to a lack of spatiotemporally compatible field observations. To address this limitation, we conducted intensive ground observations of leaf coloration and leaf fall from 610 deciduous trees at two 625 x 625 m study areas within a mixed forest in northern Wisconsin, USA during 2010 and 2012. We derived landscape phenology (LP) indices by upscaling these plot-level observations to facilitate spatially compatible comparisons with coarse resolution satellite measures. The satellite-derived land surface phenology (LSP) was based on 250 m Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) data from both standard 16-day composite (MOD13Q1) and daily Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) products. The results revealed that LSP dormancy onset differed from the observed date of full leaf coloration by 525 days on average (ranging from 0 to 12 days). Furthermore, progression of the autumn season as determined from LSP and LP showed close agreement as increasing LP leaf coloration corresponded to declining NDVI and EVI values. In addition, the end of the leaf coloring phase was marked by a simultaneous stabilizing of both NDVI and EVI time series whereas the timing of the end of the growing season (leaf fall) closely corresponded to minimum NDVI values. These findings clearly support the use of satellite measurements to effectively monitor temporal dynamics of autumn phenology in a temperate mixed forest. (C) 2015 Elsevier Inc. All rights reserved.
研究领域[WOS]Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
收录类别SCI ; EI
语种英语
WOS记录号WOS:000351644700014
源URL[http://ir.ceode.ac.cn/handle/183411/38244]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位1.[Liu, Lingling
2.Liu, Liangyun] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China
3.[Liu, Lingling] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.[Liu, Lingling
5.Schwartz, Mark D.
6.Donnelly, Alison] Univ Wisconsin, Dept Geog, Milwaukee, WI 53201 USA
7.[Liang, Liang] Univ Kentucky, Dept Geog, Lexington, KY 40506 USA
8.[Wang, Zhuosen
9.Schaaf, Crystal B.] Univ Massachusetts, Sch Environm, Boston, MA 02125 USA
推荐引用方式
GB/T 7714
Liu, Lingling,Liang, Liang,Schwartz, Mark D.,et al. Evaluating the potential of MODIS satellite data to track temporal dynamics of autumn phenology in a temperate mixed forest[J]. REMOTE SENSING OF ENVIRONMENT,2015,160:3114-3137.
APA Liu, Lingling.,Liang, Liang.,Schwartz, Mark D..,Donnelly, Alison.,Wang, Zhuosen.,...&Liu, Liangyun.(2015).Evaluating the potential of MODIS satellite data to track temporal dynamics of autumn phenology in a temperate mixed forest.REMOTE SENSING OF ENVIRONMENT,160,3114-3137.
MLA Liu, Lingling,et al."Evaluating the potential of MODIS satellite data to track temporal dynamics of autumn phenology in a temperate mixed forest".REMOTE SENSING OF ENVIRONMENT 160(2015):3114-3137.

入库方式: OAI收割

来源:遥感与数字地球研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。